JP2015176414A - Nutrition analysis system and nutrition analysis program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide merchandise advertisement information in which customer-categorized recommended merchandise determined on the basis of customer-categorized nutrition analysis information acquired by analyzing the purchase history of customers is intelligibly displayed to a customer.SOLUTION: A nutrition analysis system 1 includes: a customer information acquisition part 214; a purchase history information acquisition part 216; a nutrition analysis processing part 218 for calculating the necessary nutrient quantity of a customer, and for performing the nutrition analysis of the customer on the basis of the purchase history information and necessary nutrient quantity of the customer, and generating the nutrition analysis information of the customer; and a merchandise advertisement information provision part 220 for determining recommended merchandise for the customer on the basis of the nutrition analysis information of the customer, and for providing merchandise advertisement information including recommended merchandise notification information for notifying the customer of the recommended merchandise.

Description

  The present invention relates to a nutrition analysis system and a nutrition analysis program.

  There has been proposed a system for providing meal guidance by effectively using information on products purchased by users.

  Prior literature discloses a product information utilization system that inputs information on goods and services purchased by the user, provides the user with meal guidance, and provides the store with information on food / food ingredients that the user lacks. Yes.

JP 2004-178476 A

  However, the product information utilization system disclosed in the prior literature only provides the provision of meal guidance to the user and the provision of information on food / food ingredients that the user lacks to the store individually. The results could not be linked to store sales expansion.

  In addition, since the contents of the meal instruction and the product purchase system are not linked, it is difficult for the user to select a product in consideration of the contents of the meal instruction.

  The present invention has been made in view of the above technical problems. According to some aspects of the present invention, product advertisement information in which recommended products for each customer determined based on customer-specific nutrition analysis information obtained by analyzing a customer's purchase history is displayed in an easy-to-understand manner. Can be provided. According to another aspect of the present invention, a product advertisement capable of performing a nutrition analysis simulation when eating an advertising food using customer-specific nutrition analysis information obtained by analyzing a customer purchase history Information can be provided.

[Application Example 1]
The nutrition analysis system according to this application example includes a customer information acquisition unit that acquires customer information including customer attribute information, a purchase history information acquisition unit that acquires purchase history information of the customer's food,
Based on the customer's attribute information, the customer's required nutrient amount is calculated, and based on the customer's purchase history information and the required nutrient amount, the customer's nutrition analysis is performed, and the customer's nutrition analysis information is generated. Product advertisement information for providing product advertisement information including recommended product notification information for determining a recommended product for the customer based on the nutrition analysis processing means and the customer's nutrition analysis information and notifying the customer of the recommended product Providing means.

  The management server according to this application example is a server including the above-described units. The nutrition analysis program according to this application example is a program that causes a computer to function as each of the above-described means. An information storage medium according to this application example is a computer-readable information storage medium storing a program that causes a computer to function as each of the above-described means.

According to this application example, it is possible to provide product advertisement information in which recommended products for each customer determined based on customer-specific nutrition analysis information obtained by analyzing customer purchase history are displayed in an easy-to-understand manner. it can. Accordingly, the customer can obtain his / her nutrition analysis information without troublesome reporting of his / her nutritional status, and can select a product in consideration of his / her nutritional status. Further, for the store, sales promotion can be achieved by performing product advertisement using the nutrition analysis information of the customer.

[Application Example 2]
The nutrition analysis system according to this application example includes a customer information acquisition unit that acquires customer information including customer attribute information, a purchase history information acquisition unit that acquires purchase history information of the customer's food, and the attribute of the customer. Nutrient analysis processing means for calculating a required nutrient amount of the customer based on the information, performing nutrition analysis of the customer based on the purchase history information and the required nutrient amount of the customer, and generating nutrition analysis information of the customer; Providing product advertisement information to the customer, obtaining selection information that is information on the product selected by the customer from the product advertisement information, and based on the product specified by the nutrition analysis information of the customer and the selection information A nutrition analysis simulation is performed when the customer eats the product, and nutrition analysis simulation information as a result of the nutrition analysis simulation is provided to the customer. Including a goods advertisement information providing means, a.

  The management server according to this application example is a server including the above-described units. The nutrition analysis program according to this application example is a program that causes a computer to function as each of the above-described means. An information storage medium according to this application example is a computer-readable information storage medium storing a program that causes a computer to function as each of the above-described means.

  According to this application example, product advertisement information capable of performing a nutrition analysis simulation when eating an advertising food is provided using the customer-specific nutrition analysis information obtained by analyzing the purchase history of the customer. be able to. Accordingly, the customer can obtain his / her nutrition analysis information without troublesome reporting of his / her nutritional status, and can select a product in consideration of his / her nutritional status. Further, for the store, sales promotion can be achieved by performing product advertisement using the nutrition analysis information of the customer.

[Application Example 3]
In the application example described above, the customer information acquisition unit acquires the customer's health state information as the customer information, and the nutrition analysis processing unit uses the customer's health state information to obtain the customer's nutrition information. An analysis may be performed.

  According to this application example, the nutrition analysis information reflecting the health condition information of the customer reported by the customer is created, and the product advertisement information is provided based on the nutrition analysis information. Therefore, the product advertisement information more reflecting the needs of the customer is provided. be able to.

[Application Example 4]
In the application example described above, the customer information acquisition unit acquires, as the customer information, attribute information of a plurality of household members constituting the same household that jointly consumes the purchased food indicated by the purchase history information, The nutrient analysis processing means calculates the necessary nutrient amount of each member based on the attribute information of each household member constituting the same household, and totals the necessary nutrient amounts of the plurality of household members constituting the same household. The obtained value may be used as the necessary nutrient amount of the customer.

  According to this application example, it is possible to perform a nutritional analysis that reflects the information of household members on foods displayed in household units.

[Application Example 5]
In the application example described above, the nutrition analysis processing unit determines a cycle for performing nutrition analysis of the customer based on the purchase frequency indicated by the purchase history information of the customer, and the nutrition analysis period corresponding to the determined cycle is determined. The customer's necessary nutrient amount may be calculated, and the customer's nutrition analysis may be performed based on the calculated necessary nutrient amount and the purchase history information of the customer during the nutrition analysis period.

  According to this application example, it is possible to determine a cycle for performing nutrition analysis according to the customer's lifestyle (purchase frequency), and it is possible to perform appropriate nutrition analysis according to the customer's lifestyle.

[Application Example 6]
In the application example described above, the purchase history information acquisition unit acquires customer purchase history information in a plurality of stores, and the nutrition analysis processing unit uses the customer purchase history information in the plurality of stores. Nutritional analysis may be performed.

  According to this application example, since the purchase history information of customers in a plurality of stores can be centrally managed and nutrition analysis can be performed, more accurate nutrition analysis can be performed.

The figure which shows the network structure of the nutrient analysis system of 1st Embodiment. The example of a functional block diagram of a management server. The figure for demonstrating the outline | summary of the nutrient analysis system of this Embodiment. An example of product advertisement information provided by this system. An example of product advertisement information provided by this system. An example of product advertisement information provided by this system. An example of product advertisement information provided by this system. An example of product advertisement information provided by this system. An example of statistical information. 10A and 10B are examples of statistical information. 11A and 11B are examples of customer information. The figure for demonstrating the specific example of the nutrient analysis of this Embodiment. Registered store information (an example of customer information). An example of statistical information. An example of statistical information. An example of statistical information. An example of statistical information. An example of statistical information. An example of nutrition analysis information. The figure for demonstrating the progress information of the excess and deficiency of a nutrient. The flowchart which shows the flow of a customer information registration process. The flowchart for demonstrating the flow of a nutrient analysis process. The flowchart which shows the flow of a recommended merchandise information provision process. The flowchart which shows the flow of a nutrient analysis simulation process. An example of product advertisement information provided by this system. The figure which shows the network structure of the nutrition analysis system of 2nd Embodiment. An example of nutrition analysis information. An example of purchase history information. An example of recipe information.

  Hereinafter, this embodiment will be described. In addition, this embodiment demonstrated below does not unduly limit the content of this invention described in the claim. In addition, all the configurations described in the present embodiment are not necessarily essential configuration requirements of the present invention.

1. Configuration 1-1. FIG. 1 is a diagram illustrating a network configuration of a nutrition analysis system 1 according to a first embodiment. As a first embodiment, a configuration in which the management server 20 provides product advertisement information will be described.

  The nutrition analysis system 1 according to the present embodiment includes a management server 20 and a database 30 managed by the management server 20. The nutrition analysis system 1 may include a store server 40 of a store affiliated with the nutrition analysis system and a database 50 managed by the store server. Note that the number of stores participating in the nutrition analysis system is not limited to one, and may be a plurality of stores. The management server 20 is configured to be connectable to the store server 40 via the communication network 2 such as the Internet, and receives customer purchase history information and product information used for advertisement from the store server via the communication network 2, For example, the nutrition analysis information of the customer of the store is transmitted to the store server 40.

  The nutrition analysis system 1 may include a user terminal 10 (a plurality of user terminals 10). The user terminal 10 is a smartphone, a mobile phone, a tablet terminal, a personal computer, a game terminal, a network home appliance, or the like. The management server 20 is configured to be connectable to a plurality of user terminals 10 via a communication network 2 such as the Internet, and provides product advertisement information to the plurality of user terminals 10 via the communication network 2.

  The user can use the user terminal 10 to access a site operated by the management server 20 and a site operated by the store server 40.

  In the first embodiment, the management server 20 provides product advertisement information. Further, the user once accesses the store server 40, links from the store server 40 to the management server 20, and the management server 20 sends product advertisement information (recommended food information, results of nutrition analysis simulation processing, etc.) to the user terminal 10. May be provided.

The management server 20 functions as a customer information acquisition unit 214, a purchase history information acquisition unit 216, a nutrition analysis processing unit 218, a product advertisement information provision unit 220, a recommended product information provision unit 222, and a nutrition analysis simulation processing unit 224.
The management server 20 manages a database 30 such as a customer information database 32, a statistical information database 34, a recipe information database 36, a nutrition analysis information database 38, and a purchase history information database (management server side) 39.

  The store server 40 manages a database 50 such as a product information database 52 and a purchase history information database 54 (store server side). The purchase history information database 54 (store server side) stores user purchase histories at the store as purchase history information.

  The management server 20 receives the customer purchase history information from the store server 40 and stores it in the purchase history information database (management server side) 39. Since a plurality of stores are members of the nutrition analysis system 1, the management server associates purchase history information provided from the plurality of store servers 40 with customer identification information in a purchase history information database (on the management server side). ) 39. Therefore, the purchase history information database (management server side) 39 stores purchase history information at a plurality of stores of the user.

1-2. Nutrient Analysis System of Second Embodiment FIG. 26 is a diagram illustrating a network configuration of the nutrition analysis system 1 of the second embodiment. As a second embodiment, a configuration in which the store server 40 provides product advertisement information will be described.

  The nutrition analysis system 1 according to the present embodiment includes a management server 20, a database 30 managed by the server 20, a store server 40 of a store affiliated with the nutrition analysis system, and a database 50 managed by the server. Note that the number of stores participating in the nutrition analysis system is not limited to one, and may be a plurality of stores. The management server 20 is configured to be connectable to the store server 40 via the communication network 2 such as the Internet, and receives customer purchase history information and product information used for advertisement from the store server via the communication network 2, Or send nutritional analysis information for store customers.

  The nutrition analysis system 1 may include a user terminal 10 (a plurality of user terminals 10). The user terminal 10 is a smartphone, a mobile phone, a tablet terminal, a personal computer, a game terminal, a network home appliance, or the like. The store server 40 is configured to be connectable to a plurality of user terminals 10 via a communication network 2 such as the Internet, and provides product advertisement information to the plurality of user terminals 10 via the communication network 2.

  The user can use the user terminal 10 to access a site operated by the management server 20 and a site operated by the store server 40.

In the second embodiment, the store server 40 provides product advertisement information. The management server 20 performs processing to provide the user terminal 10 with a customer information registration screen (customer information registration image) on which a customer inputs for registering customer information. In the second embodiment, the store server 40 receives customer nutrition analysis information performed by the management server 20 and stores it in a nutrition analysis information database (store server side) 56 managed by the store server.
The store server 40 functions as a product advertisement information providing unit 220, a recommended product information providing unit 222, and a nutrition analysis simulation processing unit 224. In addition, the management server 20 functions as a customer information acquisition unit 214, a purchase history information acquisition unit 216, and a nutrition analysis processing unit 218.

  Then, the store server 40 provides product advertisement information (recommended food information, results of nutrition analysis simulation processing, etc.) based on the nutrition analysis information held in the nutrition analysis information database (store server side) 56.

  The management server 20 receives the customer purchase history information from the store server 40 and stores it in the purchase history information database (management server side) 39. Since the nutrition analysis system 1 has a plurality of stores, the management server 20 associates the purchase history information received from the plurality of store servers 40 with the customer identification information in the purchase history information database (on the management server side). ) 39. Therefore, the purchase history information database (management server side) 39 stores purchase history information at a plurality of stores of the user.

1-3. Configuration of Management Server FIG. 2 shows an example of a functional block diagram of the management server 20 of this embodiment. The management server 20 may have a configuration in which some of the components (each unit) in FIG. 2 are omitted.

  The management server 20 includes a storage unit 270, a processing unit 200, a communication unit 296, an information storage medium 280, and the like.

The storage unit 270 includes a storage unit 260 (for example, a database). The storage unit 260 stores customer information 262 and functions as a customer information database (32 in FIG. 1). The storage unit 260 stores statistical information 264 and functions as a statistical information database (34 in FIG. 1). The storage unit 260 stores purchase history information 266 and functions as a purchase history information database (39 in FIG. 1). The storage unit 260 stores nutrition analysis information 268 and functions as a nutrient analysis information database (38 in FIG. 1).
The storage unit 260 stores recipe information 500 and functions as a recipe information database (36 in FIG. 1).

  Customer information 262 includes information shown in FIGS. 11 (A) and 11 (B). The statistical information 264 includes information shown in FIGS. 9, 10A and 10B, and FIGS. The recipe information 500 includes information shown in FIG. The nutrition analysis information 268 includes information shown in FIG. 27 and FIG. The purchase history information 266 includes information shown in FIG.

  The information storage medium 280 (a computer-readable medium) stores programs, data, and the like.

  The processing unit 200 performs various processes of the present embodiment based on a program (data) stored in the information storage medium 280. That is, the information storage medium 280 stores a nutrition analysis program (a program for causing a computer to execute processing of each unit) for causing the computer to function as each unit of the present embodiment.

  The communication unit 296 performs various types of control for communicating with the outside (for example, a terminal or another server), and functions thereof are hardware such as various processors or communication ASICs, programs, and the like. realizable.

  The processing unit 200 (processor) performs processing based on a program stored in the information storage medium 280. Specifically, a service is provided in response to a request from a terminal. The functions of the processing unit 200 can be realized by hardware such as various processors (CPU, DSP, etc.), ASIC (gate array, etc.), and programs.

  The processing unit 200 includes a network setting unit 210, a communication control unit 212, a customer information acquisition unit 214, a purchase history information acquisition unit 216, a nutrition analysis processing unit 218, and a product advertisement information provision unit 220. Note that some of these may be omitted.

  The network setting unit 210 receives the identification information of the user terminal 10 and stores the network information of the user in the storage unit 260 in association with the received terminal identification information.

  The communication control unit 212 performs processing for transmitting / receiving data to / from other computers such as the store server 40 and the user terminal 10 via the network.

  The processing of the merchandise advertisement information providing unit 220 may be performed by the management server 20, or all or a part of the processing may be performed by the terminal 10 or the store server 40.

  The customer information acquisition unit 214 acquires customer information including customer attribute information. The acquired customer information may be stored in the storage unit 260 as customer information 262 in association with the customer identification information. The purchase history information acquisition unit 216 acquires purchase history information of the customer's food. The acquired purchase history information may be stored in the storage unit 260 as purchase history information 266 in association with customer identification information. The nutrition analysis processing unit 218 calculates the necessary nutrient amount of the customer based on the customer attribute information, performs the nutrition analysis of the customer based on the purchase history information 266 of the customer and the necessary nutrient amount, and generates the nutrition analysis information of the customer To do.

  The product advertisement information providing unit 220 provides product advertisement information to customers, and includes a recommended product information providing unit 222. The recommended product information providing unit 222 determines the recommended product for the customer based on the nutrition analysis information of the customer, and provides the product advertisement information including the recommended product notification information for notifying the customer of the recommended product included in the product advertisement information. To do.

  The product advertisement information providing unit 220 acquires the customer identification information of the customer and the selection information of the product posted in the product advertisement information, and is specified by the nutrition analysis information of the customer specified by the acquired customer identification information and the selection information A nutrition analysis simulation processing unit 224 for providing product advertisement information including nutrition analysis simulation information for performing nutrition analysis simulation when a customer eats the product based on the product to be notified and notifying the result of the nutrition analysis simulation; Including.

  The customer information acquisition unit 214 acquires customer health information as customer information, and the nutrition analysis processing unit 218 performs customer nutrition analysis using the customer health information.

  The customer information acquisition unit 214 acquires attribute information of a plurality of household members constituting the same household jointly consuming the purchased food indicated by the purchase history information 266 as customer information, and the nutrition analysis processing unit 218 is the same Based on the attribute information of each household member constituting the household, the amount of nutrients required for each member is calculated, and the total amount of nutrients required for multiple household members constituting the same household is used as the required nutrient amount for the customer. It may be used.

  The nutrition analysis processing unit 218 determines a cycle for performing the nutrition analysis of the customer based on the purchase frequency indicated by the purchase history information 266 of the customer, and determines a necessary nutrient amount of the customer in the nutrition analysis period corresponding to the determined cycle. The nutrition analysis of the customer may be performed based on the calculated necessary nutrient amount and the purchase history information 266 of the customer during the nutrition analysis period.

  The purchase history information acquisition unit 216 acquires customer purchase history information 266 in a plurality of stores, and the nutrition analysis processing unit 218 performs customer nutrition analysis using the customer purchase history information 266 in a plurality of stores. Good.

2. Processing of this embodiment 2-1. Outline of the System FIG. 3 is a diagram for explaining the outline of the nutrition analysis system of the present embodiment. The registered store is a store used by the customer, and is a store that provides food to the customer, such as a supermarket, a restaurant, or a convenience store.

  The customer performs (1) registration of customer information, (2) registration of a store to be used, (3) registration of permission to use personal information, etc., from the user terminal 10 to the management server 20. When the customer (4) purchases a product (food) from a registered store and (5) pays the purchase price to the registered store, the registered store accumulates purchase history information of the customer. For example, POS information of a POS system that aggregates sales results of article sales in units of single items can be used as purchase history information. The store server 40 of the registered store provides (6) customer purchase history information to the management server 20, and the management server 20 manages customer purchase history information provided from a plurality of registered stores in units of customers. Based on these, the customer's nutrition analysis processing is performed to generate nutrition analysis information. The customer can also (7) send the purchase information of the food at the unregistered store to the management server 20 and register it as purchase history information. The management server 20 performs (8) processing for providing nutrition analysis information to a customer and (9) processing for providing nutrition analysis information to a registered store. The registered store provides (10) product advertisement information (including electronic advertisements and purchase screens described later) to the customer.

When this system is configured as in the first embodiment (FIG. 1), the management server 20
However, (10) Product advertisement information (including electronic advertisement and purchase screen described later) may be provided.

  By providing nutrition analysis information to the customer, the management server 20 can perform appropriate nutritional guidance based on the purchase history for the customer. In addition, the management server 20 provides the nutrition analysis information to the registered store, so that the registered store uses the customer's nutrition analysis information to provide foods containing a large amount of nutrients that the customer lacks (menu information using the same). Can be provided to customers as recommended food information to promote sales to registered stores.

  Furthermore, in the present embodiment, recommended product information is provided or nutrition analysis simulation is performed in providing product advertisement information. As a result, the customer can easily select a product that is conscious of nutrition management, and the store can perform an advertisement with a higher sales promotion effect.

2-2. Customer Information FIGS. 11A and 11B are diagrams for explaining customer information.

  The customer information (262 in FIG. 2) of the present embodiment includes household information 330 (FIG. 11A) managed in household units and personal information 300 (FIG. 11B) managed in individual units. Including. As household information 330, member information 334, nutrition analysis cycle 336, previous analysis date 338, registered store information 340, and the like are stored in association with customer identification information 332.

As personal information 300, attribute information such as gender 310, age 312, weight 314, physical activity level 316, and health information 318 is stored in association with the personal identification information 302.
The health information 318 is an example of health status information, and includes information related to the health status of the customer registered by the customer.

  If it does in this way, it can grasp | ascertain the nutrition intake as the customer's household from the purchase history (purchase history information) of the foodstuffs in the store which the customer registered. Moreover, since the customer's registered customer information can acquire the attribute information of the individual who constitutes the customer's household, the required nutrient amount (recommended nutrient amount) of the individual member is obtained, and the necessary nutrient amount as the household is calculated from now on. be able to. Then, from the amount of nutrients ingested by the household and the amount of nutrients required by the household, information on excess and deficiency of each nutrient can be obtained for each household, and nutrition analysis information can be generated for each customer.

  FIG. 13 shows registered store information (an example of customer information) according to the present embodiment.

  As registered store information, for each customer (member), a registered store and whether to permit use of personal information for the store from among stores used relatively are stored. Information on the usage frequency of the registered store can be obtained based on the food purchase history information acquired from each store. The personal information use permission is set according to the value registered by the user for each store when customer information is registered.

2-3. Recommended Nutrient Amount by Customer FIG. 27 is a diagram showing the recommended nutrient amount by customer.

  The recommended nutrient amount 360 for each customer stores the daily required calorie 362 of the individual, the recommended daily amount 364 of each nutrient (protein 366,...), Etc. in association with the personal identification information 302. These are values calculated based on individual attribute information (FIG. 11B) and statistical information. The calculation method will be described in “2-5. Calculation process of necessary calories during nutrition analysis period” and “2-6. Calculation process of necessary amount of each nutrient during nutrition analysis period”.

2-4. Setting of Nutrition Analysis Period The nutrition analysis cycle (336 in FIG. 11) is a cycle for performing nutrition analysis. For example, when nutrition analysis is performed once a week (“1 / W”), the nutrition analysis period is 1 It will be a week. The nutritional analysis period can be set as appropriate, such as one month, three months, six months, and one year.

  In the present embodiment, the required amount of nutrients (necessary nutrient amount) of the customer is calculated in units of nutrition analysis periods. That is, if the nutrition analysis period is one week, the amount of nutrients required by the customer for one week is calculated. In the present embodiment, the amount of nutrients that the customer can obtain from the food purchased by the customer during the nutrition analysis period is calculated based on the purchase history information of the customer's food. That is, if the nutrition analysis period is one week from m / d, the amount of nutrients that the customer can acquire is calculated from the food purchase history for one week from m / d.

  The nutritional analysis cycle and the nutritional analysis period can be appropriately set by the system. The system may set the nutrition analysis cycle and the nutrition analysis period based on the food purchase frequency indicated by the food purchase history information. The more frequently the store is used, the shorter the nutritional analysis cycle is. In this way, it is possible to perform a nutrition analysis of the customer that always reflects the latest information. For example, you may set a nutrition analysis cycle according to the average of the usage frequency of a store. That is, if the average usage frequency of the store is once a week, the cycle for performing nutrition analysis may be set to once a week.

2-5. Calculation process of calories required during nutritional analysis
FIG. 9 shows a basal metabolism reference value table (an example of statistical information) by age group used in the present embodiment. As shown in the figure, a basal metabolic standard value is defined for each gender according to each age group. The basal metabolism of the customer is obtained using this table and customer attribute information (age, weight, etc.). For example, the basal metabolism in a 40-year-old male who is 70 kg in weight can be obtained as follows.

22.3 (kcal / kg / day) × 70 (kg) = 1,561 (kcal / day) (Formula 1)
FIG. 10A shows a grouping table (an example of statistical information) of physical activity levels by age group.

  Physical activity level (PAL) is mainly an index of physical activity, and is an index obtained by dividing the total energy consumption measured by the doubly labeled water method by the basal metabolic rate. And can be calculated by the following formula.

Physical activity level = total energy consumption per day ÷ basal metabolic rate per day For example, if a man with a weight of 70 kg and a body weight of 70 kg has a physical activity level of level 2, the basal metabolism is calculated from (Equation 1) to 1,561 ( kcal / day), the daily calorie requirement is as follows.

1.561 (kcal) × 1.75 = 2,732 (kcal / day) (Formula 2)
When a woman is pregnant, information such as the pregnancy period (early, middle, and final stages) and the lactation period is added. In the case of a pregnant woman, the additional amount (kcal / day) shown in FIG.

  Based on the customer's personal information shown in FIG. 11 (B), the necessary calories and the necessary amounts of each nutrient during the nutrition analysis period are calculated.

  The daily calorie requirement is as shown in (Formula 1) and (Formula 2), and can be calculated by the following formula.

Basal metabolism (kcal / day) =
Basal metabolism reference value (kcal / kg / day) x body weight (kg) (Equation 3)
Daily calorie requirement (kcal / day) =
Basal metabolism (kcal / day) x physical activity level index (Equation 4)
2-6. FIG. 14 is statistical information showing the recommended daily amount of the three major nutrients (protein, lipid, and carbohydrate). Proteins are expressed in terms of daily intake weight (g), and lipids and carbohydrates are expressed in terms of percentage of daily intake calories (kcal). Since the required calories per day can be found for each customer from (Equation 3), (Equation 4), etc., the total of households can be calculated. For proteins, lipids, and carbohydrates, the total number of household members can be calculated. By converting these values into values in a nutrition analysis period (for example, one week, one month, etc.), the recommended amount of each nutrient in the nutrition analysis period is calculated.

  FIG. 15 shows the recommended amount of vitamin A and the tolerable upper limit amount, and FIG. 16 shows statistical information showing the recommended amounts of vitamin B1, vitamin B2, and vitamin B12. Among vitamins, there are a first group in which a recommended daily amount and a tolerable upper limit amount are defined, and a second group in which only a recommended daily amount is defined. The first group is vitamin A, vitamin D, vitamin E, niacin, vitamin B6, folic acid and the like, and the second group is vitamin B1, vitamin B2, vitamin B12, vitamin C, vitamin K, pantothenic acid and the like.

  For these vitamins, the household recommended amount can be calculated from the individual recommended amount of the members of the customer's household. By converting these values into values in a nutrition analysis period (for example, one week, one month, etc.), the recommended amount of vitamins in the nutrition analysis period is calculated.

  FIG. 17 shows the recommended daily amount of sodium and magnesium, and FIG. 18 shows statistical information showing the recommended daily amount and tolerable upper limit of calcium.

Among the minerals, there is a first group in which the recommended daily amount and a tolerable upper limit amount are defined, a second group in which only the recommended daily amount is defined, a daily target amount and a target amount. There is a third group. The first group is calcium, phosphorus, iron, zinc, copper and the like, the second group is sodium, magnesium and the like, and the third group is potassium and the like.

  About these minerals, a household recommended amount can be calculated from the individual recommended amount of the member of a customer's household. By converting these values into values in a nutrition analysis period (for example, one week, one month, etc.), the recommended amount of minerals in the nutrition analysis period is calculated.

2-7. Calculation Process of Nutrients Acquired during Nutrition Analysis Period FIG. 12 is a diagram for describing a specific example of nutrition analysis of the present embodiment.

  In the present embodiment, the amount of nutrients that the customer has acquired with the purchased food for a certain period (the nutrition analysis period determined by the nutrition analysis cycle) is calculated based on the customer's food purchase history information.

  When calculating the nutrients contained in each food (nutrient A, nutrient B, nutrient C), the Ministry of Education, Culture, Sports, Science and Technology “Japan Food Standard Ingredients Table 2010” (number of listed foods 1,878 foods) is stored as statistical information. May be used. Nutrients to be calculated are energy, moisture, protein, lipid, carbohydrate, sodium, potassium, magnesium, phosphorus, iron, zinc, copper, manganese, iodine, selenium, chromium, molybdenum, vitamin A (retinol, α-carotene, β-carotene, β-cryptoxanthin, β-carotene equivalent, retinol equivalent), vitamin D, vitamin E (α-tocopherol, β-tocopherol, γ-tocopherol, δtocopherol), vitamin K, vitamin B1, vitamin B2, niacin Vitamin B6, vitamin B12, folic acid, pantothenic acid, biotin, vitamin C and the like.

  First, the effective weight (g) of the purchased food is calculated from the product weight (g) of the purchased food purchased unit, the number of purchases, and the edible rate (%).

Product weight (g) x number of purchases x edible rate (%) = effective weight (g) (Formula 5)
If the nutrition analysis period is 1 week,
Intake weight per week (g) = Effective weight (g) x (Consumption coefficient)
The consumption coefficient P (1W) is P (1W) = 1 when the estimated number of days of consumption D ≦ 7 days.
When the estimated number of days of consumption D> 7 days, P (1W) = 7 / D was calculated.

2-8. Nutrient Excess / Deficiency Information Calculation Processing FIG. 19 is a diagram for explaining nutrient excess / deficiency information during the nutrient analysis period.

When the nutrition analysis period is set to 1 week, the bar chart shows the ratio of the recommended intake and the tolerable upper limit for each household of the customer for each nutrient of the food taken during the nutrition analysis period.

  The recommended intake amount and the tolerable upper limit amount for each household of the customer during the nutrition analysis period are obtained by the method described in “2-6. Calculation process of necessary amount of each nutrient during the nutrition analysis period”.

2-9. Nutrient Analysis Information Providing Process In this embodiment, nutrient excess / deficiency information as shown in FIG. 19 is retained as customer nutrition analysis information for a predetermined period. And you may perform the process which provides this nutrition analysis information to a customer or a store. Moreover, when providing product advertisement information using this nutrition analysis information, a process of providing recommended food information reflecting the nutrition analysis result of the customer may be performed. Moreover, when providing product advertisement information using this nutrition analysis information, a nutrition analysis simulation process in which the nutrition analysis result of the customer is reflected may be performed.

  Moreover, you may perform the process which produces | generates nutrition advice information based on nutrition analysis information, and provides it to a customer. For example, nutrition advice information may be generated instructing to increase or decrease the amount of food to be taken so as to be close to the recommended amount of nutrients. In the case of a nutrient having a tolerable upper limit, nutrition advice information may be generated instructing not to exceed the upper limit.

  In addition, from the information on excess and deficiency of nutrients for one week, which is the nutrition analysis period, we devise a meal menu that uses foods that contain a relatively large amount of nutrients that are missing, so that they can be ingested for a week. To do. For example, when folic acid is deficient, nutrition advice information may be generated that instructs to ingest a lot of dark green vegetables such as spinach. Conversely, when a large amount is consumed and the tolerable upper limit is approached, nutrition advice information may be generated instructing to restrict the intake of a food containing a relatively large amount of the nutrient. For example, if dietary supplements contain excessive calcium, adjust the dietary supplement intake or, if found to be covered by a normal diet, instruct to quit dietary supplement intake Nutritional advice information to be generated may be generated.

  The system may perform processing for providing such nutrition advice information to the customer periodically, for example, at a timing linked to the nutrition analysis period. Further, as will be described later, a process of providing nutrition advice information corresponding to the food selected by the customer to the customer may be performed at the timing of performing the nutrition analysis process based on an instruction from the customer.

FIG. 20 is a diagram for explaining progress information of excess and deficiency of nutrients (proteins, lipids, carbohydrates). When the nutrition analysis period is set to one week, the progress of the intake is displayed for each nutrient of the foods taken in one week, so that it is possible to know whether the meal menu is appropriate. Especially when eating out with friends or when traveling, it is difficult to manage meals, so nutritional balance tends to be lost. In such a case, the meal menu can be devised so that the excess or deficiency of nutrition becomes normal in the next week. You may perform the process which produces | generates and provides a customer the progress information of such nutrient excess and deficiency.

2-10. Customer information registration processing The management server 20 has established a recipe nutrition analysis service providing site on the WEB, and the user registers customer information by accessing the site via the user terminal, and the nutrition analysis service You can receive the offer. For example, it is possible to receive provision of nutrition analysis advice information described in “2-9. Processing for Providing Nutrition Analysis Information”.

  FIG. 21 is a flowchart showing the flow of customer information registration processing.

  When the management server 20 (customer information acquisition unit 214) receives a customer information registration request from the user terminal 10 (Y in step S10), the customer information registration image (a customer registers customer information) in the requesting user terminal 10 (Customer information registration screen for input) is transmitted (step S20).

  When the management server 20 receives the customer information input via the customer information registration image (Y in step S30), based on the received customer information, the user information of the user (FIG. 2262, 330, 300 in FIG. 11, etc.) ) And is stored in the storage unit 260 (customer information database 32 in FIG. 1) in association with the customer identification information (step S40).

  Based on the statistical information 264 stored in the statistical information database (34 in FIG. 1), the required calorie for one day corresponding to the customer's attribute information (gender, age, weight, physical activity level, etc.) is obtained to identify the customer It is registered in association with the information (362 in FIG. 27) (step S50). For example, the necessary calories for one day can be obtained by the method described in “2-5. Calculation process of necessary calories during nutritional analysis period”.

  Also, based on the statistical values stored in the statistical information database, the required amount for each day's nutrients corresponding to customer attribute information (gender, age, weight, physical activity level, etc.) is obtained and associated with the customer identification information The necessary nutrient amount (364 in FIG. 27) is registered (step S60). For example, the required nutrient amount for one day can be obtained by the method described in “2-5. Calculation process of required amount of each nutrient in nutrition analysis period”.

2-11. Nutritional Analysis Process FIG. 22 is a flowchart for explaining the flow of the nutritional analysis process of the present embodiment.

  The management server 20 (nutrition analysis processing unit 218) acquires the nutrition analysis cycle (336 in FIG. 11A) and the previous analysis date (338 in FIG. 11A) of the customer information, and determines whether the nutrition analysis is performed. It is determined whether or not (step S120). When it is time to perform nutritional analysis (Y in step S120), the following processing is performed.

  The customer purchase history information 266 in the nutrition analysis period is read (step S130). The management server 20 associates the customer purchase history information collected from each store with the customer information as purchase history information (266 and FIG. 28 in FIG. 2) for a predetermined period (at least the period used for the nutrition analysis process). Since the data is stored in the storage unit 260 (corresponding to the purchase history information database 39), it is read from there.

Next, the effective weight of each purchased food is calculated based on the purchase history information (step S140). For example, (2-5. Calculation process of nutrients acquired during nutrition analysis period) (Formula 5)
The effective weight of each purchased food may be calculated by the method described in. Then, the amount of each nutrient that can be consumed by each purchased food is calculated based on the effective weight and the ratio of the nutrient contained in each purchased food (step S150).

  When the processing from step S140 to step S150 is completed for all purchased foods within the nutritional analysis period (Y in step S160), the amount of each nutrient that can be consumed by the purchased foods during the nutritional analysis period is totaled and can be consumed during the nutritional analysis period The total value of each nutrient is calculated (step S170).

  Further, the recommended amount of each nutrient during the nutrition analysis period is calculated based on the recommended amount of each nutrient (366 in FIG. 27) stored in association with the customer identification information (step S180). For example, if the length of the customer's nutrition analysis period is one week, the recommended amount of each nutrient during the nutrition analysis period is calculated as 7 days per day for each nutrient (protein, lipid, carbohydrate, ...) can do.

  Then, based on the total value of each nutrient that can be ingested by the purchased food within the nutrition analysis period and the recommended amount of each nutrient to be acquired during the nutrition analysis period, the customer's nutrition analysis is performed (step S190). For example, the customer's nutrition analysis may be performed by the method described in “2-8. Calculation process of nutrient excess / deficiency information”.

2-12. Recommended Product Information Providing Process FIGS. 25 and 4 show an electronic advertisement (an example of product advertisement information) provided by the present system (FIGS. 1 and 2). Product advertisement information is an image provided on WEB (for example, HTML (Hyper Text
Markup Language) image), and may be an image intended for advertisement (for example, an electronic advertisement) or an image intended for sale (for example, a product purchase screen provided by an electronic store such as a net supermarket).

  The management server 20 has established a nutrition analysis service providing site on the WEB, and the user accesses the site via the user terminal, thereby allowing electronic advertisements and electronic advertisements of stores affiliated with the nutrition analysis service system. Recommended food information (an example of product advertisement information) can be provided in the store. As shown in FIG. 1, when the management server performs the recommended food information provision process, the management server 20 may provide an electronic advertisement and provide recommended food information. Further, the store server 40 may provide electronic advertisements, link to the management server 20, and provide recommended food information from the management server 20.

  As shown in FIG. 2, when the store server 40 performs the recommended food information provision process, the store server 40 may provide the electronic advertisement and the recommended food information.

  FIG. 23 is a flowchart showing the flow of recommended product information provision processing.

  When the management server 20 receives a display request for product advertisement information from the user terminal 10 (Y in step S210), the management server 20 provides the product advertisement information to the requesting user terminal 10 (step S220). For example, an electronic advertisement (an example of product advertisement information) as shown in FIG. 25 is provided. This electronic advertisement is an electronic advertisement provided without login with a user ID (may be a customer identification number) or the like, and is an electronic advertisement provided in common to all users (an electronic advertisement not customized for each customer). . In the electronic advertisement, information related to “food” as a product (for example, food name 422, price 424, food image (not shown), etc.) is displayed.

  When receiving the customer identification information from the user terminal 10 (Y in Step S230), the management server 20 determines a recommended product based on the nutrition analysis information of the customer specified by the received customer identification information (Step S240). The customer's nutrition analysis information is, for example, excess / deficiency information for the recommended amount of each nutrient as described with reference to FIG. Therefore, foods that contain a large amount of nutrients whose excess / deficiency rate with respect to the recommended amount satisfies a predetermined condition (for example, nutrients whose excess / deficiency rate is less than or equal to a predetermined ratio (for example, 80% or less)) are determined as recommended products. May be. In addition, when determining a recommended product, for a nutrient having a tolerable upper limit, the nutrient with an excess / deficiency ratio with respect to the tolerable upper limit of the nutrient satisfies a predetermined condition (for example, the excess / deficiency ratio is a predetermined ratio or more (for example, 100% or more)) (Nutrients) may be processed to remove foods containing them (foods containing more than a predetermined standard) from recommended products.

  Then, the management server 20 provides the user terminal with product advertisement information including recommended product notification information for notifying the customer of the recommended product included in the product advertisement information (step S250). For example, as shown in FIG. 4, product advertisement information 410 in which “recommended mark” 430 (an example of recommended product announcement information) is added to a recommended product is provided.

  The recommended products with the “Recommendation Mark” 430 are foods that are recommended in consideration of the nutritional status of customers viewing this electronic advertisement, and customers should maintain good nutritional status by eating this food. And can improve nutritional status. Accordingly, it is possible to give a strong motivation to the customer to purchase the food, and to promote the purchase of the product from the store.

  In addition, about the user who transmitted customer identification information, you may provide other nutrition information. For example, when a “nutrition” 440 button is clicked, a process of providing various services (see FIGS. 6 to 8) as described later may be performed.

  Moreover, if it is a type of system which logs in by transmitting customer identification information, the product advertisement information 410 shown in FIG. 5 may be provided from the beginning.

  In the above-described embodiment, the case where the user browses the image on the WEB site has been described as an example. However, the present invention is not limited to this. For example, it is within the scope of the present invention to browse images by e-mail or the like. Further, the case where product advertisement information is provided as a PDF image or the like is also within the scope of the present invention.

2-13. Nutritional Analysis Simulation Processing FIGS. 5 to 8 show a product purchase screen (an example of product advertisement information) provided by the present system (FIGS. 1 and 2). The product advertisement information is an image (for example, an HTML (HyperText Markup Language) image) provided on the WEB, and may be an image for advertising (for example, an electronic advertisement) or an image for sales (for example, for example). It may be a product purchase screen provided by an electronic store such as a net super.

  The management server 20 has established a nutrition analysis service providing site on the WEB, and the user accesses the site via the user terminal, thereby allowing electronic advertisements and electronic advertisements of stores affiliated with the nutrition analysis service system. In the store, it is possible to receive a nutrition analysis simulation result when an advertisement product (food) is eaten.

As shown in FIG. 1, when the management server 20 performs the nutrition analysis simulation process, the management server may provide a product purchase screen and a result of the nutrition analysis simulation process. Further, the store server 40 may provide a product purchase screen, link to the management server 20, and provide the result of the nutrition analysis simulation process from the management server 20.

  As shown in FIG. 2, when the store server 40 performs the recommended food information provision process, the store server 40 may provide a product purchase screen and provide a result of the nutrition analysis simulation process.

  FIG. 24 is a flowchart showing the flow of the nutrient analysis simulation process.

  When the management server 20 receives a display request for product advertisement information from the user terminal (step S310), the management server 20 provides the product advertisement information to the requesting user terminal (step S320).

  For example, a product sales screen (an example of product advertisement information) as shown in FIG. 5 is provided. This product sales screen is a product sales screen provided without login with a user ID (may be a customer identification number) or the like, and is a product sales screen provided in common to all users. On the product sales screen, information related to “food” as a product (for example, food name, price, food image (not shown), etc.), “purchase button” image, and “nutrition button” image 440 are displayed. When the “purchase button” image is instructed (for example, clicked), the management server 20 performs a product purchase process.

  When the management server 20 receives customer identification information from the user terminal (Y in step S330) and further receives food selection information from the user terminal (Y in step S340), the management server 20 receives the customer identification information received from the customer terminal. Using the nutrition analysis information, a nutrition analysis simulation is performed when the food indicated by the food selection information received by the customer is eaten (step S350), and product advertisement information including the nutrition analysis simulation information is provided to the user terminal (step S360). ).

  FIG. 6 shows an image (when “tofu” is received as food selection information) displayed when the user instructs (for example, clicks) the “nutrition button” image 440 of “tofu” on the screen of FIG. This is an example of product advertisement information including nutrition analysis simulation information. As shown in the figure, as a simulation result, the excess / deficiency information 470 of the current nutrients of the user (customer) and the nutrients when used when eating “tofu” which is the product selected by the user (customer) The excess / deficiency information 480 is displayed. The excess / deficiency ratio of nutrients before eating tofu was 72% for “nutrient A” and 60% for “nutrient B”. Accordingly, it is displayed that the excess / deficiency ratio of “Nutrient A” changes to 75% and the excess / deficiency ratio of “Nutrient B” changes to 62%. The nutrient to be displayed may be a nutrient that satisfies a predetermined condition. For example, nutrients with an excess / deficiency ratio of the customer less than or equal to a predetermined value or those whose ratio of the excess / deficiency ratio changes by eating the food may be displayed with priority. .

  The customer's nutrition analysis information is, for example, excess / deficiency information for the recommended amount of each nutrient as described with reference to FIG. This system uses this nutrition analysis information to simulate how the excess / deficiency information changes when the selected food product is eaten. Specifically, using the method described in “2-7. Calculation process of nutrients acquired during nutritional analysis period”, products purchased during the nutritional analysis period include the food selected by the user in the food selection information. By calculating the excess / deficiency information, it is possible to obtain the excess / deficiency information 480 of nutrients when used when eating “tofu” which is a product selected by the user (customer).

As shown in FIG. 6, a “purchase button” image 452, a “recipe search button” image 454, and a “return button” image 456 may be provided. When the “purchase button” image 452 is instructed, the management server 20 provides a screen for product purchase to the user terminal. When the user looks at the simulation result and wants to purchase the product, the user can purchase the product by instructing the “purchase button” image 452. When the “return button” image 456 is designated, the screen returns to the screen of FIG.

  When the “recipe search button” image 454 is instructed, the management server 20 provides a recipe list image 610 as shown in FIG. 7 to the user terminal. The recipe list image 610 displays a list of recipes using the selected food (here, “tofu”. Note that the list is displayed in the order of the user's deficiency nutrient (for example, the deficiency ratio is a predetermined nutrient). ) May be displayed so as to come to the top. Specifically, the method described in “2-7. Calculation process of nutrients acquired during nutrition analysis period” is used. In addition, the excess or deficiency of nutrients when the food purchased during the nutrition analysis period is calculated by including the food contained in the recipe selected by the food selection information by the user and eating the dish of each recipe Based on this change, the improvement rate of the nutritional status of the customer when eating each recipe is evaluated, and the higher the improvement rate, the higher the improvement rate may be displayed. Announce rate Display may be added to that.

  In FIG. 7, when a “view button” image 620 corresponding to each recipe is instructed, the management server 20 provides a recipe image 650 as shown in FIG. 8 to the user terminal. In the recipe image, necessary materials are displayed, and a “purchase button” image 660 corresponding to each material is also provided. If it does in this way, the user can purchase the material for lacking materials by looking at a recipe. The recipe image 650 is also provided with a “how to make button” image 652, and when the “how to make button” image 652 is instructed, the management server 20 provides an image displaying how to make the recipe on the user terminal. . In this way, the user can save time and effort to check how to make it, so that the purchase of the user's product can be promoted.

  As mentioned above, although this embodiment or the modification was demonstrated, this invention is not limited to these this embodiment or a modification, It is possible to implement in a various aspect in the range which does not deviate from the summary.

2-13. Recipe Information Database FIG. 29 is a diagram showing an example of registered contents of recipe information in the recipe information database.

  The recipe information 500 includes a recipe ID 502, a copy source ID 504, a recipe title (cooking name) 506, a category 508, a type 510, a release date 512, a user ID 514, a cooking image 516, food information 518, how to make information 520, report information 522, and nutrients. Information 524 and recommended pregnancy week number information 626 are included.

  The food material information 518 may be constituted by information including a food material name 542 and a quantity 544 as shown in 540, for example.

  For example, as shown in 550, the creation method information 520 may be composed of information including a creation order 552, a creation description 554, and a photo 556 regarding the creation method.

  The report information 522 may be composed of information including a report ID 562, a contributor 564, a dish photo 566, a posting date 568, and a comment 569, for example, as indicated by 560.

  The nutrient information 524 may be composed of information including a nutrient name 572, a unit 574, and a nutrient amount (for one person) 576 as shown in 570, for example.

The report information 522 is information generated when a user other than the user who registered the recipe creates a comment such as a photo or an impression when the user makes a reference with the recipe. In this embodiment, when a user submits a recipe, if he wants to make a slight change with reference to a recipe, the original recipe can be copied, changed, and newly registered. . In this case, the copy source recipe ID is also registered as the copy source ID 504. In addition, the basic cooking menu may be registered in advance in the present system, thereby saving the user from having to post from scratch.

  The recommended gestational age information 626 is information on the number of gestational weeks suitable for the recipe (may be information on time and the number of pregnancy months), and may be registered when the user registers the recipe. You may make it set with. For example, if “initial” is registered as the recommended pregnancy week number information 626, the recipe is suitable for the early pregnancy (1 to 15 weeks). Based on the recipe search results, when displaying recipe information, if the pregnancy week number of the user who is searching for a recipe matches the recommended pregnancy week number (or close), The recipe information may be displayed with priority. Further, a recommendation mark or the like may be displayed on the recipe to notify the user that the recipe is highly recommended.

  The present invention includes substantially the same configuration (for example, a configuration having the same function, method, and result, or a configuration having the same object and effect) as the configuration described in the embodiment. In addition, the invention includes a configuration in which a non-essential part of the configuration described in the embodiment is replaced. In addition, the present invention includes a configuration that exhibits the same operational effects as the configuration described in the embodiment or a configuration that can achieve the same object. In addition, the invention includes a configuration in which a known technique is added to the configuration described in the embodiment.

  In the said embodiment, you may perform the nutrition analysis based on the said health condition information (318 of FIG. 11) of the said customer. For example, in the customer information registration screen, an item to be registered as health condition information is provided as a selection, and the customer is allowed to input an option. Information on necessary nutrients corresponding to the selected branch may be prepared in the system, information on necessary nutrients corresponding to customer options may be obtained, and recommended products may be determined using the information.

1 Nutrition Analysis System, 10 User Terminal, 20 Management Server, 30 Management Server Database, 32 Customer Information Database, 34 Statistical Information Database, 36 Recipe Information Database, 38 Nutrition Analysis Information Database, 39 Purchase History Information Database (Management Server Side) , 40 store server, 50 store server database, 52 product information database, 54 purchase history information database (management server side), 200 processing unit, 210 network setting unit, 212 communication control unit, 214 customer information acquisition unit, 216 purchase history Information acquisition unit, 218 Nutrition analysis processing unit, 220 Product advertisement image provision unit, 222 Recommended product information provision unit, 224 Nutrition analysis simulation processing unit, 260 Storage unit, 262
Customer information, 264 statistical information, 266 purchase history information, 268 nutrition analysis information, 269
Recipe information, 270 storage unit, 272 storage unit, 280 information storage medium, 296 communication unit

Claims (8)

Customer information acquisition means for acquiring customer information including customer attribute information;
Purchase history information acquisition means for acquiring purchase history information of the customer's food;
Based on the customer's attribute information, the customer's required nutrient amount is calculated, and based on the customer's purchase history information and the required nutrient amount, the customer's nutrition analysis is performed, and the customer's nutrition analysis information is generated. Nutrition analysis processing means;
Product advertisement information providing means for determining product recommended for the customer based on the nutrition analysis information of the customer and providing product advertisement information including recommended product notification information for notifying the customer of the recommended product; Analysis system. Customer information acquisition means for acquiring customer information including customer attribute information;
Purchase history information acquisition means for acquiring purchase history information of the customer's food;
Based on the customer's attribute information, the customer's required nutrient amount is calculated, and based on the customer's purchase history information and the required nutrient amount, the customer's nutrition analysis is performed, and the customer's nutrition analysis information is generated. Nutrition analysis processing means;
Product advertisement information is provided to the customer, the customer acquires selection information that is information on a product selected from the product advertisement information, and the customer is based on the product specified by the customer's nutrition analysis information and the selection information. A nutritional analysis system including product advertisement information providing means for performing nutritional analysis simulation when the product eats the product and providing the customer with nutritional analysis simulation information that is a result of the nutritional analysis simulation. In the nutritional analysis system according to claim 1 or 2,
The customer information acquisition means includes
As the customer information, obtain health information of the customer,
The nutrition analysis processing means includes:
A nutrition analysis system that performs nutrition analysis of the customer using the health condition information of the customer. The nutrition analysis system according to any one of claims 1 to 3,
The customer information acquisition means includes
As the customer information, obtaining attribute information of a plurality of household members constituting the same household that jointly consumes the purchased food indicated by the purchase history information,
The nutrition analysis processing means includes:
Based on the attribute information of each household member constituting the same household, the necessary nutrient amount of each member is calculated, and the total amount of necessary nutrients of a plurality of household members constituting the same household is calculated as the value of the customer. Nutrient analysis system used as a necessary nutrient amount. The nutrition analysis system according to any one of claims 1 to 4,
The nutrition analysis processing means includes:
Based on the purchase frequency indicated by the purchase history information of the customer, the cycle for the nutrition analysis of the customer is determined, the amount of the nutrient necessary for the customer in the nutrition analysis period is calculated corresponding to the determined cycle, and the calculated necessary nutrient A nutrition analysis system that performs nutrition analysis of the customer based on the amount and purchase history information of the customer during the nutrition analysis period. The nutrition analysis system according to any one of claims 1 to 5,
The purchase history information acquisition means includes:
Get customer purchase history information at multiple stores,
The nutrition analysis processing means includes:
A nutrition analysis system that performs nutrition analysis of the customer using purchase history information of the customer in the plurality of stores. Customer information acquisition means for acquiring customer information including customer attribute information;
Purchase history information acquisition means for acquiring purchase history information of the customer's food;
Based on the customer's attribute information, the customer's required nutrient amount is calculated, and based on the customer's purchase history information and the required nutrient amount, the customer's nutrition analysis is performed, and the customer's nutrition analysis information is generated. Nutrition analysis processing means;
Product advertisement information providing means for determining product recommended for the customer based on the nutrition analysis information of the customer and providing product advertisement information including recommended product notification information for notifying the customer of the recommended product. Nutritional analysis program that makes the computer work. Customer information acquisition means for acquiring customer information including customer attribute information;
Purchase history information acquisition means for acquiring purchase history information of the customer's food;
Based on the customer's attribute information, the customer's required nutrient amount is calculated, and based on the customer's purchase history information and the required nutrient amount, the customer's nutrition analysis is performed, and the customer's nutrition analysis information is generated. Nutrition analysis processing means;
Providing product advertising information to the customer, obtaining selection information that is information on the product selected by the customer from the product advertising information, based on the product specified by the nutrition analysis information and the selection information of the customer, A nutrition analysis program for performing a nutrition analysis simulation when the customer eats the product and serving as a product advertisement information providing means for providing the customer with nutrition analysis simulation information as a result of the nutrition analysis simulation. .